There are 2 repositories under hough-transform topic.
Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)
[ECCV-20] Official PyTorch implementation of HoughNet, a voting-based object detector.
Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity
Rectangle detection using the Hough transform
Detecting lines in binary edge-image using CNNs
Real-time detection of documents in images
https://towardsdatascience.com/tutorial-build-a-lane-detector-679fd8953132
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes (CVPR2022)
Kernel-Based Hough Transform for Detecting Straight Lines in Images
Implementation of Hough Transform to detect Circles in an Image
3d line detection from pointcloud using Hough Transform
Applies Generalised Hough Transform to object detection in images.
Implementation of Simple Hough Circle Detection Algorithm in Python
Computer-assisted image straightening and cropping
Autonomous wind blade inspection using Hough line transformation, canny edge detection and stereo vision.
This repo includes solutions to all the 'in the class quizzes' and 7 problem sets of the Introduction to Computer Vision course (G Tech CS6476 - on Udacity)
This project is for the ultimate manner of identifying the License Plate. Combining YOLOv7 object detection, Hough transform alignment, and CNN character recognition
Fast image processing. Implements Canny, Gaussian Blur, Hough edge detection, Crop with perspective.
DeDA: Differentiable Image Integration Library
This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.
Circles detections in images, using Hough Transform and RANSAC
Python realization of Hough Transform algorithm for detecting planes in 3D point clouds.
🧵 Identify which DMC threads are used in embroidery hoop images.
cpp implementation for algorithms in the book "digital image processing and computer vision"("数字图像处理与机器视觉-Visual C++与Matlab实现")
Solutions of Stanford CS131 assignments
Lane Detection for Self Driving Car
Implementation of Simple Hough Line Detection Algorithm in Python
Inverse Filtering, Wiener Filter, Image Restoration, Hough Transform, Image segmentation using watershed, thresholding, region growing and region splitting and merging
Canny Edge Detection, Eigen Faces Face Recognition Algorithm, Applying Sobel Filter, Hough Lines, Harris Corner Detection as a Feature, Image Manipulation
Basic lane detection program written in C++
Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab
PCLines for Python
ENPM673: Project 2 Problem 2 and 3. In this project I detect the road lanes by performing image transformations on each frame of continuous input, further developing the program to also visually predict upcoming turns